{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T04:55:33Z","timestamp":1754110533244},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>In non-cooperative multi-agent systems, agents might want to prevent the opponents from achieving their goals. One alternative to solve this task would be using counterplanning to generate a plan that allows an agent to block other's to reach their goals. In this paper, we introduce a fully automated domain-independent approach for counterplanning. It combines; goal recognition to infer an opponent's goal; landmarks' computation to identify subgoals that can be used to block opponents' goals achievement; and classical automated planning to generate plans that prevent the opponent's goals achievement. Experimental results in several domains show the benefits of our novel approach.\u00a0<\/jats:p>","DOI":"10.24963\/ijcai.2018\/668","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:49:10Z","timestamp":1530769750000},"page":"4808-4814","source":"Crossref","is-referenced-by-count":4,"title":["Counterplanning using Goal Recognition and Landmarks"],"prefix":"10.24963","author":[{"given":"Alberto","family":"Pozanco","sequence":"first","affiliation":[{"name":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avda. de la Universidad, 30. 28911 Legan\u00e9s, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yolanda","family":"E-Mart\u00edn","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avda. de la Universidad, 30. 28911 Legan\u00e9s, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susana","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avda. de la Universidad, 30. 28911 Legan\u00e9s, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Borrajo","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Avda. de la Universidad, 30. 28911 Legan\u00e9s, Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2018","name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","start":{"date-parts":[[2018,7,13]]},"theme":"Artificial Intelligence","location":"Stockholm, Sweden","end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:55:06Z","timestamp":1530770106000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/668"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/668","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}